Top Remote Senior Level Hardware Engineer Jobs in Dallas, TX

As a Lead UI Engineer, you'll lead a team of UI Engineers to enhance the user experience for Splitgate 2. You'll distribute tasks, mentor team members, and ensure effective collaboration with artists and designers. Your responsibilities include overseeing progress, communicating with stakeholders, and staying informed about industry trends.

As a Senior Full Stack Engineer, you will design and build both front- and back-end systems for Enigma's website and other platforms. You will collaborate with product managers, designers, and data scientists to enhance customer experiences and accelerate sales. Your primary focus will be on delivering high-quality, tested code using a variety of technologies, primarily Python and React, as well as managing AWS infrastructure.

As a Backend Software Engineer at Datapeople, you will build scalable data pipelines, write data extraction processes, develop internal tools, maintain cloud infrastructure, and ensure code quality and maintainability. You will collaborate with fellow engineers and the Product team to improve hiring analytics.

As a Sr. Engineer in Information Engineering, you'll develop Tableau business intelligence solutions, collaborate with Product Managers, design reporting architectures, manage project deliverables in an agile environment, and mentor team members to enhance BI reporting efficacy.

The Senior Front End Software Engineer will improve and maintain the ICP Dashboard, implement and redesign React components, perform code reviews, and mentor other developers while ensuring high-quality code standards.

The Workday Financials Functional Architect leads multiple implementations and provides expert guidance on Workday Financials engagements. Responsibilities include overseeing functional areas, mentoring junior staff, ensuring project efficiency, and ensuring customer satisfaction. This role requires maintaining certifications and participating in sales discussions.

As a Staff AI/ML Engineer, you will design and implement scalable ML models using AWS technologies, collaborate with teams to meet project requirements, optimize data processing workflows, and provide leadership in ML project planning. You'll also mentor junior members and ensure best practices are followed.